{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m0qQu-luFmB5"
      },
      "source": [
        "# Split one COCO annotation JSON file into training and validation JSON files."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9NGkWKGrF3pc"
      },
      "source": [
        "Given a single COCO annotated JSON file, your goal is to split them into training and validation COCO annotated JSON files.\n",
        "\n",
        " A single JSON file needs to be split into training and validation files. The output files will be further converted to TFRecord files using another notebook.\n",
        "\n",
        "This notebook uses a third party library to accomplish this task. The library can split the JSON files according to the ratio. We kept the validation file to contain 20% of the data. \n",
        "\n",
        "This notebook is an end to end example. When you run the notebook, it will take one JSON file and will split into a train and a val JSON file."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GIjj-vE-n1e3"
      },
      "source": [
        "**Note** - In this example, we assume that all our data is saved on Google drive and we will also write our outputs to Google drive. We also assume that the script will be used as a Google Colab notebook. But this can be changed according to the needs of users. They can modify this in case they are working on their local workstation, remote server or any other database. This colab notebook can be changed to a regular jupyter notebook running on a local machine according to the need of the users."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QElyM7FtWv5E"
      },
      "source": [
        "## **MUST DO** - Install and restart runtime"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "WMy_xu64FJ1j"
      },
      "outputs": [],
      "source": [
        "# install python object detection insights library to merge multiple COCO annotation files\n",
        "!pip install pyodi\n",
        "\n",
        "# RESTART THE RUNTIME in order to use this library"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tySpWIuVFPj0"
      },
      "source": [
        "## Run the below command to connect to your google drive"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "RfJAkMY9FSPz"
      },
      "outputs": [],
      "source": [
        "# import other libraries\n",
        "from google.colab import drive\n",
        "import pyodi\n",
        "import subprocess\n",
        "import sys\n",
        "import os\n",
        "import json\n",
        "import numpy as np\n",
        "import pandas as pd"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AOLmsOOZFVdJ",
        "outputId": "f7f6dba8-0872-4d21-d55d-2b95c42a06a4"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Mounted at /content/gdrive\n",
            "Successful\n"
          ]
        }
      ],
      "source": [
        "# connect to google drive\n",
        "drive.mount('/content/gdrive')\n",
        "\n",
        "# making an alias for the root path\n",
        "try:\n",
        "  !ln -s /content/gdrive/My\\ Drive/ /mydrive\n",
        "  print('Successful')\n",
        "except Exception as e:\n",
        "  print(e)\n",
        "  print('Not successful')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "v0vJRt5qUOD_"
      },
      "source": [
        "## Visualization function"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "HbNMcLBmUOZ2"
      },
      "outputs": [],
      "source": [
        "def data_creation(path: str) -\u003e pd.DataFrame:\n",
        "  \"\"\"Create a dataframe with the occurences of images and categories.\n",
        "  Args:\n",
        "    path: path to the annotated JSON file.\n",
        "  Returns:\n",
        "    dataset consisting of the counts of images and categories.\n",
        "  \"\"\"\n",
        "  # get annotation file data into a variable\n",
        "  with open(path) as json_file:\n",
        "    data = json.load(json_file)\n",
        "\n",
        "  # count the occurance of each category and an image in the annotation file\n",
        "  category_names = [i['name'] for i in data['categories']]\n",
        "  category_ids = [i['category_id'] for i in data['annotations']]\n",
        "  image_ids = [i['image_id'] for i in data['annotations']]\n",
        "\n",
        "  # create a dataframe\n",
        "  df = pd.DataFrame(\n",
        "      list(zip(category_ids, image_ids)), columns=['category_ids', 'image_ids'])\n",
        "  df = df.groupby('category_ids').agg(\n",
        "      object_count=('category_ids', 'count'),\n",
        "      image_count=('image_ids', 'nunique'))\n",
        "  df = df.reindex(range(1, len(data['categories']) + 1), fill_value=0)\n",
        "  df.index = category_names\n",
        "  return df\n",
        "\n",
        "def visualize_detailed_counts_horizontally(path: str) -\u003e None:\n",
        "  \"\"\"Plot a vertical bar graph showing the counts of images \u0026 categories.\n",
        "  Args:\n",
        "    path: path to the annotated JSON file.\n",
        "  \"\"\"\n",
        "  df = data_creation(path)\n",
        "  ax = df.plot(\n",
        "      kind='bar',\n",
        "      figsize=(40, 10),\n",
        "      xlabel='Categories',\n",
        "      ylabel='Counts',\n",
        "      width=0.8,\n",
        "      linewidth=1,\n",
        "      edgecolor='white')  # rot = 0 for horizontal labeling\n",
        "  for p in ax.patches:\n",
        "    ax.annotate(\n",
        "        text=np.round(p.get_height()),\n",
        "        xy=(p.get_x() + p.get_width() / 2., p.get_height()),\n",
        "        ha='center',\n",
        "        va='top',\n",
        "        xytext=(4, 14),\n",
        "        textcoords='offset points')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gmTfyRQo9pT3"
      },
      "source": [
        "## Define the paths of inputs and outputs"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "nl5MrEPR9q9x"
      },
      "outputs": [],
      "source": [
        "input_file = '/mydrive/TFHub/jsons/merged.json' #@param {type:\"string\"}\n",
        "output_folder = '/mydrive/TFHub/jsons/' #@param {type:\"string\"}"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2E7P4_2eFaPB"
      },
      "source": [
        "## Split coco annotation file into train and val COCO files"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9HLYrO4JGKFm",
        "outputId": "a31b04fa-0d7c-4c22-cd18-58672d5a29e7"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\u001b[32m2022-09-09 21:40:00.173\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mpyodi.apps.coco.coco_split\u001b[0m:\u001b[36mrandom_split\u001b[0m:\u001b[36m183\u001b[0m - \u001b[1mGathering images...\u001b[0m\n",
            "\u001b[32m2022-09-09 21:40:00.192\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mpyodi.apps.coco.coco_split\u001b[0m:\u001b[36mrandom_split\u001b[0m:\u001b[36m194\u001b[0m - \u001b[1mGathering annotations...\u001b[0m\n",
            "\u001b[32m2022-09-09 21:40:11.078\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mpyodi.apps.coco.coco_split\u001b[0m:\u001b[36mrandom_split\u001b[0m:\u001b[36m218\u001b[0m - \u001b[1mSaving splits to file...\u001b[0m\n",
            "/mydrive/TFHub/jsons/_train.json\n",
            "/mydrive/TFHub/jsons/_val.json\n"
          ]
        }
      ],
      "source": [
        "# split a COCO annotation file into train and val files\n",
        "!pyodi coco random-split $input_file $output_folder --val-percentage 0.2\n",
        "\n",
        "# there will be two files with name '_train.json' and '_val.json' in the output_folder"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wLnDJLIuMf8o"
      },
      "source": [
        "## Visualization"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 429
        },
        "id": "2dNcl3XCMLDX",
        "outputId": "4dd5fa70-ddda-4afa-911d-b22eced089da"
      },
      "outputs": [
        {
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\n",
            "text/plain": [
              "\u003cFigure size 2880x720 with 1 Axes\u003e"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "# visualization of the input COCO annotated JSON file\n",
        "visualize_detailed_counts_horizontally(input_file)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 878
        },
        "id": "GHZZ3aLbMO35",
        "outputId": "89b78d18-112b-413b-a417-71599ff87a53"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Train JSON\n",
            "Validation JSON\n"
          ]
        },
        {
          "data": {
            "image/png": 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            "text/plain": [
              "\u003cFigure size 2880x720 with 1 Axes\u003e"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        },
        {
          "data": {
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\n",
            "text/plain": [
              "\u003cFigure size 2880x720 with 1 Axes\u003e"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "# visualization of the training COCO annotated JSON file\n",
        "print('Train JSON')\n",
        "visualize_detailed_counts_horizontally(output_folder + '_train.json')\n",
        "\n",
        "print('Validation JSON')\n",
        "# visualization of the validation COCO annotated JSON file\n",
        "visualize_detailed_counts_horizontally(output_folder + '_val.json')"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "collapsed_sections": [],
      "provenance": []
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}
